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A**H
Decent book for quick glance
This book covers wide variety of topics and has a very simple way of presenting concepts . But , if one needs detailed explanation about any topic in particular , well that's missing in this book . This book can be summarized as a really good introductory book for Machine Learning , which covers many topics briefly .
U**E
Very helpful for someone with programming experience who wants to understand Machine Learning
This book has a fine balance of discussing complex Machine Learning concepts while also explaining implementation considerations. Author uses some of the popular Python libraries to implement examples, which made the subject less intimidating to me. In a nutshell, the book has something to offer for beginners, ML practitioners and academics alike.
N**R
Somewhat better
This book is average. But better than machine learning for beginners bpb publication. You can work hard on it and make a quality content. If you don't know how to then try to use o'reilly books and filter the relevant practical information and make a quality content.
A**L
Very good book ! A must buy
This book is a perfect balance between theory and practical as given in the summary. Mathematical backgrounds were very well explained and the quality of code written are simply superb. Any software professional who is willing to learn ML must go through this book.
L**O
Good selection of topics and well presented
Full of interesting explanations and code
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